Why don’t my matches “match” with me? The algorithm, explained
Dating apps promise matches. But many users complain that the people they’re shown don’t really fit what they’re looking for. And they’re…
Dating apps promise matches. But many users complain that the people they’re shown don’t really fit what they’re looking for. And they’re right to feel misled. When a company calls itself “Match,” users expect real compatibility. Instead, most feel disappointed.
So what gives? It’s all about the algorithm — and the data the algorithm uses.
Every major platform has one. Google, Facebook, YouTube, TikTok — all use algorithms to connect people with content they’re likely to enjoy. These systems work remarkably well. It’s part of what makes TikTok so addictive.
Dating apps also run on algorithms. So why don’t they perform as well as social media?
The answer lies in the data sets they use. Social media platforms track what users click, watch and share, then serve more of the same. Dating apps, by contrast, rely almost entirely on what people type into their profiles.
Here’s the key point: most dating apps don’t use all the information you provide. While you might think they’re analyzing your photos, your “about me” section and your detailed preferences, in reality they’re not.
For the most part, dating apps use just two inputs: age and location.
Scroll through your own matches and you’ll see the pattern. Nearly every suggestion falls inside the age range and distance you set. Beyond that, it’s often a free-for-all.
Why don’t these apps use more of the data we give them? Because it’s hard. Computers can process structured numbers instantly, but they struggle with unstructured information — things like photos or written descriptions.
For example, your photos can’t easily be converted into data that predicts attraction. The app isn’t noticing whether you tend to click on women with blonde hair or men with beards. Similarly, most apps can’t “read” your written profile. While artificial intelligence can analyze language, dating services don’t typically invest in that level of technology.
And even if they did, they would face another problem: meaning. How do you teach a machine to weigh a clever turn of phrase, a sense of humor or the way someone talks about family? Humans themselves have wrestled with compatibility since the beginning of time. No algorithm can solve it overnight.
Some services, like OkCupid and eHarmony, add personality questions to generate compatibility scores. But even these are limited. Multiple-choice answers can’t capture the full nature of a person. So in the end, these services also fall back on age and distance as the main filters.
That’s why your matches often don’t feel like matches at all. The algorithm isn’t broken — it’s just narrow. It can easily calculate years and miles. It can’t capture chemistry.